{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Week 10\n",
    "\n",
    "**`Library::report`**\n",
    "* stats\n",
    "* plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/omega/Developer/qtrader\n"
     ]
    }
   ],
   "source": [
    "# change current working directory\n",
    "%cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# suppress warning messages\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# trading environment\n",
    "from qtrader.envs import TradingEnv\n",
    "# random trading agent\n",
    "from qtrader.agents import RandomAgent\n",
    "# uniforma trading agent\n",
    "from qtrader.agents import UniformAgent\n",
    "# machine accuracy\n",
    "from qtrader.utils.numpy import eps\n",
    "\n",
    "# YAML parser\n",
    "import yaml\n",
    "\n",
    "# scientific programming\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# visualization\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start date: 2005-01-01\n",
      "trading frequency: W-FRI\n",
      "trading universe: ['AAPL', 'GE', 'JPM', 'MSFT', 'VOD', 'GS', 'MMM']\n"
     ]
    }
   ],
   "source": [
    "# fetch configuration file\n",
    "config = yaml.load(open('config/log/week_10.yaml', 'r'))\n",
    "\n",
    "# configuration summary\n",
    "print(f\"start date: {config['start_date']}\")\n",
    "print(f\"trading frequency: {config['freq']}\")\n",
    "print(f\"trading universe: {config['tickers']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `stats`\n",
    "\n",
    "Performance metrics and risk measures."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Cumulative Returns | Profit & Loss\n",
    "\n",
    "For a simple returns time-series $r(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{cum_returns}(t)   &= \\bigg[ \\prod_{\\tau=0}^{t} \\big[ r(\\tau) + 1 \\big] \\bigg] - 1\\\\\n",
    "    \\text{profit_n_loss}(t) &= \\prod_{\\tau=0}^{t} \\big[ r(\\tau) + 1 \\big]\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def cum_returns(returns):\n",
    "    \"\"\"Computes cumulative returns from simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    cumulative_returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Cumulative returns.\n",
    "    \"\"\"\n",
    "    out = returns.copy()\n",
    "    out = np.add(out, 1)\n",
    "    out = out.cumprod(axis=0)\n",
    "    out = np.subtract(out, 1)\n",
    "    return out\n",
    "\n",
    "def pnl(returns):\n",
    "    \"\"\"Computes profit and loss (PnL) from simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    pnl : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Profit and loss.\n",
    "    \"\"\"\n",
    "    if returns.ndim > 2:\n",
    "        raise ValueError('returns tensor cannot be handled')\n",
    "    out = returns.copy()\n",
    "    out = np.add(out, 1)\n",
    "    out = out.cumprod(axis=0)\n",
    "    return out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Sharpe Ratio\n",
    "\n",
    "For a simple returns time-series $r(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{sharpe_ratio} = \\frac{\\mu_{r}}{\\sigma_{r}}\n",
    "\\end{align}\n",
    "\n",
    "where:\n",
    "* $\\mu_{r}$: the empirical mean estimator of returns $r(t)$\n",
    "* $\\sigma_{r}$: the empirocal mean (unbiased) estimator of standard deviation of returns $r(t)$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def sharpe_ratio(returns):\n",
    "    \"\"\"Computes Sharpe Ratio from simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    sharpe_ratio : float | np.ndarray | pd.Series\n",
    "        Sharpe ratio.\n",
    "    \"\"\"\n",
    "    if returns.ndim > 2:\n",
    "        raise ValueError('returns tensor cannot be handled')\n",
    "    return np.sqrt(len(returns)) * \\\n",
    "        np.mean(returns, axis=0) / (np.std(returns, axis=0) + eps)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Hit Ratio\n",
    "\n",
    "For a simple returns time-series $r(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{hit_ratio} = \\frac{\\text{number of positive trades }}{\\text{number of trades}}\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def hit_ratio(returns):\n",
    "    \"\"\"Computes Hit Ratio from simple returns,\n",
    "    represented by number of positive trades\n",
    "    over total number of trades.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    hit_ratio : float | np.ndarray | pd.Series\n",
    "        Hit ratio.\n",
    "    \"\"\"\n",
    "    if returns.ndim > 2:\n",
    "        raise ValueError('returns tensor cannot be handled')\n",
    "    return np.sum(returns > 0, axis=0) / len(returns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Average Win to Average Loss Ratio\n",
    "\n",
    "For a simple returns time-series $r(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{average_win_average_loss_ratio} =\n",
    "        \\frac{\\mu_{r(t) > 0}}{\\mu_{r(t) < 0}}\n",
    "\\end{align}\n",
    "\n",
    "where:\n",
    "* $\\mu_{r(t) > 0}$: the mean value of positive returns $r(t)$\n",
    "* $\\mu_{r(t) < 0}$: the mean value of negative returns $r(t)$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def awal(returns):\n",
    "    \"\"\"Computes Average Win to Average Loss ratio.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    awal : float | np.ndarray | pd.Series\n",
    "        Average win to average loss ratio.\n",
    "    \"\"\"\n",
    "    if returns.ndim > 2:\n",
    "        raise ValueError('returns tensor cannot be handled')\n",
    "    aw = returns[returns > 0].mean(axis=0)\n",
    "    al = returns[returns < 0].mean(axis=0)\n",
    "    return np.abs((aw+eps)/(al+eps))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Average Profitability Per Trade\n",
    "\n",
    "For a simple returns time-series $r(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{average_profitability_per_trade} =\n",
    "        p_{\\text{r(t) > 0}} \\mu_{r(t) > 0} - p_{\\text{r(t) < 0}} \\mu_{r(t) < 0}\n",
    "\\end{align}\n",
    "\n",
    "\n",
    "where:\n",
    "* $\\mu_{r(t) > 0}$: the mean value of positive returns $r(t)$\n",
    "* $\\mu_{r(t) < 0}$: the mean value of negative returns $r(t)$\n",
    "* $\\\\p_{r(t) > 0}$: probability of positive returns $r(t)$ (win)\n",
    "* $\\\\p_{r(t) < 0}$: probability of negative returns $r(t)$ (loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def appt(returns):\n",
    "    \"\"\"Computes Average Profitability Per Trade.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    appt : float | np.ndarray | pd.Series\n",
    "        Average profitability per trade.\n",
    "    \"\"\"\n",
    "    if returns.ndim > 2:\n",
    "        raise ValueError('returns tensor cannot be handled')\n",
    "    pw = np.sum(returns > 0, axis=0) / len(returns)\n",
    "    pl = np.sum(returns < 0, axis=0) / len(returns)\n",
    "    aw = returns[returns > 0].mean(axis=0)\n",
    "    al = returns[returns < 0].mean(axis=0)\n",
    "    return pw * aw - pl * al"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drawdown\n",
    "\n",
    "For a cumulative returns time-series $R(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{drawdown}(t) = \\max \\bigg\\{ 0,\\ \\big[ \\max_{\\tau \\in (0, t)} R(\\tau) \\big] - R(t) \\bigg\\}\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def drawdown(returns):\n",
    "    \"\"\"Computes Drawdown given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    drawdown : pandas.Series\n",
    "        Drawdown of strategy.\n",
    "    \"\"\"\n",
    "    _cum_returns = cum_returns(returns)\n",
    "    expanding_max = _cum_returns.expanding(1).max()\n",
    "    drawdown = expanding_max - _cum_returns\n",
    "    return drawdown"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Max Drawdown\n",
    "\n",
    "For a cumulative returns time-series $R(t) \\in \\mathbb{R}$:\n",
    "\n",
    "\\begin{align}\n",
    "    \\text{max_drawdown}(t) =\n",
    "        \\max_{x \\in (0, t)} \\bigg[ \\big[ \\max_{\\tau \\in (0, x)} R(\\tau) \\big] - R(x) \\bigg]\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def max_drawdown(returns):\n",
    "    \"\"\"Computes Max Drawdown given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    max_drawdown : pandas.Series\n",
    "        Max drawdown of strategy.\n",
    "    \"\"\"\n",
    "    _drawdown = drawdown(returns)\n",
    "    return _drawdown.expanding(1).max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Other standard metrics\n",
    "\n",
    "\n",
    "* average_drawdown_time\n",
    "* mean_returns\n",
    "* std_returns\n",
    "* skewness\n",
    "* kurtosis\n",
    "* tail_ratio\n",
    "* value_at_risk\n",
    "* conditional_value_at_risk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def average_drawdown_time(returns):\n",
    "    \"\"\"Computes Average Drawdown Time given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    average_drawdown_time : datetime.timedelta\n",
    "        Average drawdown time of strategy.\n",
    "    \"\"\"\n",
    "    _drawdown = drawdown(returns)\n",
    "    return _drawdown[_drawdown == 0].index.to_series().diff().mean()\n",
    "\n",
    "\n",
    "def mean_returns(returns):\n",
    "    \"\"\"Compute mean returns given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    mean_returns : float\n",
    "        Mean returns of strategy.\n",
    "    \"\"\"\n",
    "    return returns.mean(axis=0)\n",
    "\n",
    "\n",
    "def std_returns(returns):\n",
    "    \"\"\"Compute standard deviation of returns given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    std_returns : float\n",
    "        Standard deviation of returns of strategy.\n",
    "    \"\"\"\n",
    "    return returns.std(axis=0)\n",
    "\n",
    "\n",
    "def skewness(returns):\n",
    "    \"\"\"Compute skewness of returns given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    skew_returns : float\n",
    "        Skewness of returns of strategy.\n",
    "    \"\"\"\n",
    "    return returns.skew(axis=0)\n",
    "\n",
    "\n",
    "def kurtosis(returns):\n",
    "    \"\"\"Compute kurtosis of returns given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    kurt_returns : float\n",
    "        Skewness of returns of strategy.\n",
    "    \"\"\"\n",
    "    return returns.kurt(axis=0)\n",
    "\n",
    "\n",
    "def tail_ratio(returns):\n",
    "    \"\"\"Compute tail ratio of returns given simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    tail_ratio : float\n",
    "        Tail ratio of returns of strategy.\n",
    "    \"\"\"\n",
    "    return np.abs(np.percentile(returns, 95)) / \\\n",
    "        np.abs(np.percentile(returns, 5))\n",
    "\n",
    "\n",
    "def value_at_risk(returns, cutoff=0.05):\n",
    "    \"\"\"Compute Value at risk (VaR) of a returns stream.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "    cutoff : float, optional\n",
    "        Decimal representing the percentage cutoff for the bottom percentile of returns.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    VaR : float\n",
    "        The VaR value.\n",
    "    \"\"\"\n",
    "    return np.percentile(returns, 100 * cutoff)\n",
    "\n",
    "\n",
    "def conditional_value_at_risk(returns, cutoff=0.05):\n",
    "    \"\"\"Compute Conditional value at risk (CVaR) of a returns stream.\n",
    "    CVaR measures the expected single-day returns of an asset on that asset's\n",
    "    worst performing days, where \"worst-performing\" is defined as falling below\n",
    "    ``cutoff`` as a percentile of all daily returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "    cutoff : float, optional\n",
    "        Decimal representing the percentage cutoff for the bottom percentile of returns.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    CVaR : float\n",
    "        The CVaR value.\n",
    "    \"\"\"\n",
    "    cutoff_index = int((len(returns) - 1) * cutoff)\n",
    "    return np.mean(np.partition(returns, cutoff_index)[:cutoff_index + 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `qtrader.utils.summary.stats`\n",
    "\n",
    "Wrapper function that generates a statistics summary for provided simple returns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def stats(returns):\n",
    "    \"\"\"Generate statistics report for strategy.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    prices: pandas.DataFrame\n",
    "        Prices of asset universe.\n",
    "    returns: pandas.Series\n",
    "        Realised returns of strategy.\n",
    "    weights: pandas.DataFrame\n",
    "        Portfolio weights of strategy.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    table: pd.Series\n",
    "        Strategy report.\n",
    "    \"\"\"\n",
    "    report = {\n",
    "        'Mean Returns': mean_returns(returns),\n",
    "        'Cumulative Returns': cum_returns(returns).iloc[-1],\n",
    "        'Volatility': std_returns(returns),\n",
    "        'Sharpe Ratio': sharpe_ratio(returns),\n",
    "        'Max Drawdown': max_drawdown(returns).iloc[-1],\n",
    "        'Average Drawdown Time': average_drawdown_time(returns).days,\n",
    "        'Skewness': skewness(returns),\n",
    "        'Kurtosis': kurtosis(returns),\n",
    "        'Tail Ratio': tail_ratio(returns),\n",
    "        'Value at Risk': value_at_risk(returns),\n",
    "        'Conditional Value at Risk': conditional_value_at_risk(returns),\n",
    "        'Hit Ratio': hit_ratio(returns),\n",
    "        'Average Win to Average Loss': awal(returns),\n",
    "        'Average Profitability Per Trade': appt(returns)\n",
    "    }\n",
    "    table = pd.Series(\n",
    "        report,\n",
    "        name=(returns.name or 'Strategy'),\n",
    "        dtype=object\n",
    "    )\n",
    "    return table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `plotting`\n",
    "\n",
    "Helper plotting functions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Time Series\n",
    "\n",
    "General univariate & multivariate time-series plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def time_series(series, title='', xlabel='', ylabel='', path=None):\n",
    "    \"\"\"Plot univariate and multivariate time series.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    series : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Univariate / Multivariate time series to plot.\n",
    "    title: str, optional\n",
    "        Title for the figure.\n",
    "    xlabel: str, optional\n",
    "        Label for x-axis for the figure.\n",
    "    ylabel: str, optional\n",
    "        Label for y-axis for the figure.\n",
    "    path: str, optional\n",
    "        Path to store figure.\n",
    "    \"\"\"\n",
    "    fig, ax = plt.subplots()\n",
    "    if isinstance(series, pd.DataFrame) or isinstance(series, pd.Series):\n",
    "        series.plot(ax=ax)\n",
    "    elif isinstance(series, np.ndarray):\n",
    "        if series.ndim == 1:\n",
    "            plt.plot(series)\n",
    "        elif series.ndim == 2:\n",
    "            for c in range(series.shape[1]):\n",
    "                plt.plot(series[:, c])\n",
    "        else:\n",
    "            raise ValueError('returns tensor cannot be handled')\n",
    "    ax.set(title=title,\n",
    "           xlabel=xlabel,\n",
    "           ylabel=ylabel)\n",
    "    ax.xaxis.set_tick_params(rotation=45)\n",
    "    if path is not None:\n",
    "        fig.savefig(path)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Profit and Loss\n",
    "\n",
    "Illustrate profit and loss time-series evolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def pnl_plotting(returns, path=None):\n",
    "    \"\"\"Plot profit and loss (PnL) from simple returns.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    returns : np.ndarray | pd.Series | pd.DataFrame\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "    path: str, optional\n",
    "        Path to store figure.\n",
    "    \"\"\"\n",
    "    _pnl = _PnL(returns)\n",
    "    if hasattr(returns, 'name'):\n",
    "        title = f\"{returns.name or 'Strategy'}: Profit & Loss\"\n",
    "    else:\n",
    "        title = 'Profit & Loss'\n",
    "    xlabel = 'Time'\n",
    "    ylabel = 'Wealth Level'\n",
    "    time_series(_pnl, title, xlabel, ylabel, path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Trades\n",
    "\n",
    "Double axes figure, depicted asset prices along with portfolio weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def trades(prices, weights, path=None):\n",
    "    \"\"\"Plot stock prices and corresponding portfolio weights.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    prices : pandas.Series\n",
    "        Asset prices.\n",
    "    weights: pandas.Series\n",
    "        Portfolio weights.\n",
    "    path: str, optional\n",
    "        Path to store figure.\n",
    "    \"\"\"\n",
    "    fig, axes = plt.subplots(nrows=2, sharex=True, gridspec_kw={\n",
    "        'height_ratios': [3, 1], 'wspace': 0.01})\n",
    "    axes[0].plot(prices.index, prices.values, color='b')\n",
    "    axes[1].bar(weights.index, weights.values, color='g')\n",
    "    axes[0].set(title='%s: Prices & Portfolio Weights' % (prices.name or 'Strategy'),\n",
    "                ylabel='Price, $p_{t}$')\n",
    "    axes[1].set(xlabel='Time', ylabel='Weight, $w_{t}$', ylim=[0, 1])\n",
    "    axes[1].xaxis.set_tick_params(rotation=45)\n",
    "    fig.subplots_adjust(hspace=.0)\n",
    "    if path is not None:\n",
    "        fig.savefig(path)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Drawdown\n",
    "\n",
    "Plot drawdown, max drawdown and PnL in a single figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def drawdown_plotting(returns, path=None):\n",
    "    \"\"\"Plot drawdown along with PnL.\n",
    "\n",
    "    Prameters\n",
    "    ---------\n",
    "    returns: pandas.Series\n",
    "        Returns of the strategy as a percentage, noncumulative.\n",
    "    path: str, optional\n",
    "        Path to store figure.\n",
    "    \"\"\"\n",
    "    _pnl = pnl(returns)\n",
    "    neg_drawdown = - drawdown(returns)\n",
    "    neg_max_drawdown = - max_drawdown(returns)\n",
    "    fig, ax = plt.subplots()\n",
    "    _pnl.plot(label='Profit & Loss', ax=ax)\n",
    "    neg_drawdown.plot(label='Drawdown', ax=ax)\n",
    "    neg_max_drawdown.plot(label='Max Drawdown', ax=ax)\n",
    "    ax.set(title=f'{returns.name or \"Strategy\"}: Profit & Loss with Drawdown',\n",
    "           ylabel='Wealth Level', xlabel='Time')\n",
    "    ax.legend()\n",
    "    if path is not None:\n",
    "        fig.savefig(path)\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `qtrader.utils.summary.figure`\n",
    "\n",
    "Wrapper function that generates figures for provided prices, simple returns and portfolio weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def figure(prices, returns, weights, path=None):\n",
    "    \"\"\"Generate statistics figures for strategy.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    prices: pandas.DataFrame\n",
    "        Prices of asset universe.\n",
    "    returns: pandas.Series\n",
    "        Realised returns of strategy.\n",
    "    weights: pandas.DataFrame\n",
    "        Portfolio weights of strategy.\n",
    "    path: str, optional\n",
    "        Path to store figure.\n",
    "    \"\"\"\n",
    "    drawdown_plotting(returns, path)\n",
    "    for ticker in prices:\n",
    "        trades(prices[ticker], weights[ticker], path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `summary`\n",
    "\n",
    "Combine statistics summary report and figures generatio, leveraging `env.agents` and `env._prices` structures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def summary(prices, agents):\n",
    "    \"\"\"Generate statistics summary and figures.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    table: pd.DataFrame\n",
    "        Strategy report.\n",
    "    \"\"\"\n",
    "    summary = {}\n",
    "    for agent in agents:\n",
    "        returns = agents[agent].rewards.sum(axis=1)\n",
    "        returns.name = agent\n",
    "        weights = agents[agent].actions\n",
    "        # set name for figures\n",
    "        weights.name = agent\n",
    "        # statistics summary\n",
    "        summary[agent] = stats(returns)\n",
    "        # summary figures\n",
    "        figure(prices, returns, weights)\n",
    "    return pd.DataFrame(summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Initializations\n",
    "\n",
    "Setup trading environment and (simple) agents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# initializa environment\n",
    "env = TradingEnv(config['tickers'],\n",
    "                 start_date=config['start_date'],\n",
    "                 csv=config['csv_file_prices'])\n",
    "# initialize random agent\n",
    "random_agent = RandomAgent(env.action_space)\n",
    "# initialize uniform agent\n",
    "uniform_agent = UniformAgent(env.action_space)\n",
    "# register agents\n",
    "env.register(random_agent)\n",
    "env.register(uniform_agent)\n",
    "\n",
    "# environment execution\n",
    "ob = env.reset()\n",
    "reward = 0.0\n",
    "done = False\n",
    "info = {}\n",
    "j = 0\n",
    "while (not done) and (j < env._max_episode_steps):\n",
    "    random_action = random_agent.act(ob)\n",
    "    uniform_action = uniform_agent.act(ob)\n",
    "    ob_, reward, done, info = env.step({\n",
    "        random_agent.name: random_action,\n",
    "        uniform_agent.name: uniform_action\n",
    "    })\n",
    "    random_reward = reward[random_agent.name]\n",
    "    uniform_reward = reward[uniform_agent.name]\n",
    "    ob = ob_\n",
    "    j = j + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n",
      "/Users/omega/Developer/qtrader/.env/lib/python3.6/site-packages/matplotlib/figure.py:459: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n",
      "  \"matplotlib is currently using a non-GUI backend, \"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>random</th>\n",
       "      <th>uniform</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mean Returns</th>\n",
       "      <td>0.000456086</td>\n",
       "      <td>0.000552743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cumulative Returns</th>\n",
       "      <td>2.29462</td>\n",
       "      <td>3.60534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Volatility</th>\n",
       "      <td>0.013352</td>\n",
       "      <td>0.0128513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sharpe Ratio</th>\n",
       "      <td>1.94704</td>\n",
       "      <td>2.4516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Max Drawdown</th>\n",
       "      <td>0.980124</td>\n",
       "      <td>0.944161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Average Drawdown Time</th>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skewness</th>\n",
       "      <td>0.315662</td>\n",
       "      <td>0.244315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kurtosis</th>\n",
       "      <td>12.2488</td>\n",
       "      <td>11.8546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tail Ratio</th>\n",
       "      <td>0.965489</td>\n",
       "      <td>0.948755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Value at Risk</th>\n",
       "      <td>-0.0190785</td>\n",
       "      <td>-0.0186076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Conditional Value at Risk</th>\n",
       "      <td>-0.0318339</td>\n",
       "      <td>-0.0303387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hit Ratio</th>\n",
       "      <td>0.541256</td>\n",
       "      <td>0.540948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Average Win to Average Loss</th>\n",
       "      <td>0.942393</td>\n",
       "      <td>0.969284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Average Profitability Per Trade</th>\n",
       "      <td>0.00855392</td>\n",
       "      <td>0.00828479</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      random      uniform\n",
       "Mean Returns                     0.000456086  0.000552743\n",
       "Cumulative Returns                   2.29462      3.60534\n",
       "Volatility                          0.013352    0.0128513\n",
       "Sharpe Ratio                         1.94704       2.4516\n",
       "Max Drawdown                        0.980124     0.944161\n",
       "Average Drawdown Time                     17           13\n",
       "Skewness                            0.315662     0.244315\n",
       "Kurtosis                             12.2488      11.8546\n",
       "Tail Ratio                          0.965489     0.948755\n",
       "Value at Risk                     -0.0190785   -0.0186076\n",
       "Conditional Value at Risk         -0.0318339   -0.0303387\n",
       "Hit Ratio                           0.541256     0.540948\n",
       "Average Win to Average Loss         0.942393     0.969284\n",
       "Average Profitability Per Trade   0.00855392   0.00828479"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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SJEmSJEkdM0EjSZIkSZLUMRM0kiRJkiRJHVs2CZrp6WkmJiaYmprqOhRJkiRJkqR52abrANoyNjbG5ORk12FIkiRJkiTN27LpQSNJkiRJkrRUmaCRJEmSJEnqmAkaSZIkSZKkjpmgkSRJkiRJ6pgJGkmSJEmSpI6ZoJEkSZIkSeqYCRpJkiRJkqSOLZsEzfT0NBMTE0xNTXUdiiRJkiRJ0rxs03UAbRkbG2NycrLrMCRJkiRJkuZt2fSgkSRJkiRJWqpM0EiSJEmSJHXMBI0kSZIkSVLHTNBIkiRJkiR1bGiTBCfZDTgROKCq7j/H/q2AVwHXA3sBp1fV55Pcsznvi8DdgZ9U1T8MK25JkiRJkqTFNsxVnB4MfAi430b2HwmsqqoXJ9kF+HyS+wC7AO+pqg8BJPl6krOrat1QopYkSZIkSVpkQ0vQVNUHkhy6iUOOAM5pjr02yY3AvlX1hVnHbQX8YnGilCRJkiRJGr5RmoPmLvSGN824rim7TZInAB+vqm/OPvnKK69k9erV3Ote92J8fJzJycnFjVaSJEmSJKklwxzitDlXAzv1ba9qygBIchhwGPC8uU5es2YNa9euXdQAJUmSJEmSFkOnPWiS3CnJ6mbzbODgpnwXYDvga832EcAjgb8FdktycAfhSpIkSZIkLYqhJWiSPBQ4Ctg9ycuSbA8cDbyiOeR9wPVJjgdOBp5RVbcm+X3gvcBBwHn0JhreZ1hxS5IkSZIkLbZUVdcxtGJ8fLwc4iRJkiRJkkZZknVVNT67fJQmCZYkSZIkSVqRTNBIkiRJkiR1zASNJEmSJElSx0zQSJIkSZIkdWzZJGimp6eZmJhgamqq61AkSZIkSZLmZZuuA2jL2NgYk5OTXYchSZIkSZI0b8umB40kSZIkSdJSZYJGkiRJkiSpYyZoJEmSJEmSOmaCRpIkSZIkqWMmaCRJkiRJkjpmgkaSJEmSJKlj807QJDm27/E+7YYjSZIkSZK08gycoEmyc5IzgCcleU6SBwMvXrzQ5md6epqJiQmmpqa6DkWSJEmSJGleUlXzOyF5JHANsD9wTVWNREZkfHy81q5d23UYkiRJkiRJG5VkXVWNzy4fqAdNkkcnuTjJZcCzgDtW1RmjkpyRJEmSJElaygYd4nQa8ALgIGASODnJnyxaVJIkSZIkSSvINgMed3VVXdQ8/mSSzwEXA+9enLAkSZIkSZJWjkF70FyR5MQkd2y2bwZuWaSYJEmSJEmSVpRBEzQbgCcA30tyIXA5cH6SvRctMkmSJEmSpBVioCFOVfWnAEm2BX4HOKD5elOS36qqNYsXoiRJkiRJ0vI26Bw0AFTVTcC65kuSJEmSJEktGHSI08ibnp5mYmKCqSlX/pYkSZIkSUvLvHrQjLKxsTEmJye7DkOSJEmSJGnetrgHTZL7thmIJEmSJEnSSrWQIU7vTvKhJMtmmJQkSZIkSVIXtniIU1UdkOQBwO7AD9oLSZIkSZIkaWWZV4Imyf7AauAy4AdVdfGiRCVJkiRJkrSCDJygSfJC4DHAlcCZwN8Ax83j/N2AE4EDqur+c+zfCngVcD2wF3B6VX2+2fcw4InA1UBV1QmDXleSJEmSJGnUzacHzY5VdViS46rqvCQHzfNaDwY+BNxvI/uPBFZV1YuT7AJ8Psl9gG2BNwL7VtVNSc5KcnhVnTvP64+09evh5pu7jkKSJEmSpNG1446walXXUSyO+SRotm6+V/N9x/lcqKo+kOTQTRxyBHBOc+y1SW4E9qU3pOq7VXVTc9xFzbHLKkHz+MfDZz/bdRSSJEmSJI2u446Dk07qOorFMZ8Eza1J/gvYIcmBwBdbjuUu9IY3zbiuKVu9kfJfc+WVV7J69WrGxsbYeeedmZiYYGJiouUQF8+LXgQ//nHXUUiSJEmSNLoOOKDrCBbPwAmaqjo+ySOA/YFLquoTLcdyNbBT3/aqpqw2Uv5r1qxZw9q1a1sOaXj+6I+6jkCSJEmSJHVlXqs4VdU5wDlJtnh57n5J7gTsUFXrgbOBQ4C3N3PQbAd8jd4cNHsm2bYZ5vQg4LQ2ri9JkiRJkjQKthr0wCTvT3JMs3lUkufM50JJHgocBeye5GVJtgeOBl7RHPI+4PokxwMnA8+oqlur6gbg2cAbkpwIXLrcJgiWJEmSJEkr23x6wlxSVWcAVNUZSf5+PheqqguAC2YV/2vf/g1sZNnuZjhV20OqJEmSJEmSRsLAPWiAO87a3q7NQCRJkiRJklaq+fSguTnJR4DLgXsCFy9OSJIkSZIkSSvLfFZxekXfKk5nL8IqTpIkSZIkSSvSZoc4JUnzfQ3wTXqT+V6W5FWLHJskSZIkSdKKMMgcNDNDmS4Azmy+3go8ZXFC2jLT09NMTEwwNTXVdSiSJEmSJEnzstkhTlV1YPPw/1TVbdmPJI9ZtKi2wNjYGJOTk12HIUmSJEmSNG/zWcXppUl+b2ajqj66CPFIkiRJkiStOPNJ0Px3VX1xZiPJnRchHkmSJEmSpBVnPgmay5M8KsmezYTBxy1WUJIkSZIkSSvJwMtsA88GDuvbXgO8qN1wJEmSJEmSVp6BEjRJHgW8tqpO7it72KJFJUmSJEmStIJsNkGT5A3A/sCdk1xZVe8FqKpPLnZwkiRJkiRJK8Egc9BsVVWHAr8LPHBxw9ly09PTTExMMDU1tfmDJUmSJEmSRsggQ5yuBqiqW5L8ZKYwyROq6j8WLbJ5GhsbY3JysuswJEmSJEmS5m2QBM0jk+zYPH5g3+ODgJFJ0EiSJEmSJC1VgyRo/hf4RfP4E33lN7cfjiRJkiRJ0sozSILmRVX1hdmFSX5/EeKRJEmSJElacTY7SfBcyZmmfF374UiSJEmSJK08g6ziJEmSJEmSpEVkgkaSJEmSJKljJmgkSZIkSZI6tmwSNNPT00xMTDA1NdV1KJIkSZIkSfMyyCpOS8LY2BiTk5NdhyFJkiRJkjRvy6YHjSRJkiRJ0lJlgkaSJEmSJKljJmgkSZIkSZI6ZoJGkiRJkiSpY0ObJDjJw4AnAlcDVVUnzNq/F3AC8DVgX+C1VXVJs++1wC1AgB2Av6mqDcOKXZIkSZIkaTENJUGTZAfgjcC+VXVTkrOSHF5V5/Yddirw1qr6jyT7Ae8ADkjyAODwqjqgqesS4GDgomHELkmSJEmStNiGNcTpYOC7VXVTs30RcMSsY/YGrmwefxvYP8muwE+AHZNsk2QboIArhhCzJEmSJEnSUAxriNNdgOv7tq9ryvpdCBwErAMObMpWVdXlSSaB9wMbgE8C62dfYP369YyPj9+2PTExwcTERGtPQJIkSZIkabEMK0FzNbBT3/aqpqzfscALkjwf+Cm9njPfT/KHwGFV9SiAJGcBfwGc1n/y6tWrWbt27SKFL0mSJEmStHiGlaD5HLBnkm2bYU4PAk5LsgtwS1VdB9wNOKWqbkiyD3BOVf1vkt8EftRX11XAdkOKW5IkSZIkadENJUHTJF2eDbwhyXrg0qo6N8mrgWuBk4AHAo9JshbYBXhuc/qZwMFJXgncCowB/z6MuCVJkiRJkoYhVdV1DK0YHx8vhzhJkiRJkqRRlmRdVY3PLh/WKk6SJEmSJEnaCBM0kiRJkiRJHTNBI0mSJEmS1DETNJIkSZIkSR1bNgma6elpJiYmmJqa6joUSZIkSZKkeRnKMtvDMDY2xuTkZNdhSJIkSZIkzduy6UEjSZIkSZK0VJmgkSRJkiRJ6pgJGkmSJEmSpI6ZoJEkSZIkSeqYCRpJkiRJkqSOmaCRJEmSJEnqmAkaSZIkSZKkji2bBM309DQTExNMTU11HYokSZIkSdK8bNN1AG0ZGxtjcnKy6zAkSZIkSZLmbdn0oJEkSZIkSVqqTNBIkiRJkiR1zASNJEmSJElSx0zQSJIkSZIkdcwEjSRJkiRJUsdM0EiSJEmSJHXMBI0kSZIkSVLHlk2CZnp6momJCaamproORZIkSZIkaV626TqAtoyNjTE5Odl1GJIkSZIkSfO2bHrQSJIkSZIkLVUmaCRJkiRJkjpmgkaSJEmSJKljJmgkSZIkSZI6NrRJgpM8DHgicDVQVXXCrP17AScAXwP2BV5bVZc0+w4CHg5sAA4Djqmq7w0rdkmSJEmSpMU0lARNkh2ANwL7VtVNSc5KcnhVndt32KnAW6vqP5LsB7wDOCDJKuCFVfXHTV3vBq4dRtySJEmSJEnDMKwhTgcD362qm5rti4AjZh2zN3Bl8/jbwP5JdgUeA/w8yQuS/F/g96rqF8MIWpIkSZIkaRiGNcTpLsD1fdvXNWX9LgQOAtYBBzZlq4A9gQcAfw7cCpyX5JqqOr//5PXr1zM+Pn7b9sTEBBMTEy0+BUmSJEmSpMUxrATN1cBOfdurmrJ+xwIvSPJ84KfAT4Dv00vmfKmqbgZI8jngUOD8/pNXr17N2rVrFyN2SZIkSZKkRTWsIU6fA/ZMsm2z/SDg7CS7NHPMANwNOKWqXtccf05V/S9wHrBXX117Av89nLAlSZIkSZIW31B60FTVDUmeDbwhyXrg0qo6N8mr6U34exLwQOAxSdYCuwDPbc79ZpK3N8feDFwFvHsYcUuSJEmSJA1DqqrrGFoxPj5eDnGSJEmSJEmjLMm6qhqfXT6sIU6SJEmSJEnaCBM0kiRJkiRJHTNBI0mSJEmS1DETNJIkSZIkSR1bNgma6elpJiYmmJqa6joUSZIkSZKkeRnKMtvDMDY2xuTkZNdhSJIkSZIkzduy6UEjSZIkSZK0VJmgkSRJkiRJ6pgJGkmSJEmSpI6ZoJEkSZIkSeqYCRpJkiRJkqSOmaCRJEmSJEnqmAkaSZIkSZKkji2bBM309DQTExNMTU11HYokSZIkSdK8bNN1AG0ZGxtjcnKy6zAkSZIkSZLmbdn0oJEkSZIkSVqqTNBIkiRJkiR1zASNJEmSJElSxzpP0CTZLcmbk3xhI/u3SnJSkpcmeVOSg4Yd47A4h47aYltSm2xPapPtSW2yPalNtie1yfakLdF5ggZ4MPAhIBvZfySwqqpeCRwHvC3J1gu96Ciu9jSKL+JRu0+jFg+MZky2pcEY02BsT4MxpsHYngZjTIOxPW3eqMUDoxkTjF57GsX7ZEyDsz1tnjHdXucJmqr6AHD9Jg45Avhcc+y1wI3Avgu9btc3fqkYtfs0avHAaMY0ikbxPhnT0jWK98mYlq5RvE/GtHSN2n0atXhgNGMaRaN4n4xp6RrF+2RMt5eq6jQAgCSHAqdU1fgc+z4O/FtV/WezfSHw8qr6ZP9xO+64Y/U/l1133ZXVq1cvatySJEmSJEnzsW7duqqq23WY2aaLYObpamCnvu1VTdmvufe9783atWuHFpQkSZIkSdJ8JfniXOWdD3GaS5I7JZnp/nI2cHBTvguwHfC1rmKTJEmSJElqW+cJmiQPBY4Cdk/ysiTbA0cDr2gOeR9wfZLjgZOBZ1TVrZ0EK0mSJEmStAg6H+JUVRcAF8wq/te+/Rvord4kSZIkSZK0LHXeg0aSJEmSJGmlM0EjSZIkSZLUsWWToJmenmZiYqLzdcslSZIkSZLmq9U5aJIcW1WvaR7vU1WXtVn/poyNjTE5OTmsy0mSJEmSJLWmlQRNkp2B1wH7JPklcCnwLOCYNuqXJEmSJElazhacoEmyXVX9DDgmySOBa4D9gQ8utG5JkiRJkqSVoI0eNP8vySeAf6uqjzdl61qoV5IkSZIkaUVoY5Lg+wHnA69LcnaSxyZJC/VKkiRJkiStCG0kaHYGvgacQG9Y06uBb7dQryRJkiRJ0orQRoLmGuDtwJHA3YBJ4BUt1DsvLrMtSZIkSZKWqjbmoBkH/gbYD3gz8B9VtaGFeufFZbYlSZIkSdJSteAeNFX1xao6Bng6cC/g00n+bsGRSZIkSZIkrRBtLLN9AXAnYIemaAPwJOBVC61bkiRJkiRpJWhjiNMzgJ8B11VVtVCfJEmSJEnSirLgBE1VfbeNQCRJkiRJklaqNlZxGgmu4iRJkiRJkpaqNoY4jQRXcZIkSZIkSUvVovSgSXLfxahXkiRJkiRpOVqsIU7vTvKhJMtmCJUkSZIkSdJiWZQhTlV1QJIHALsDP1iMa0iSJEmSJC0XrfRwSXJk3+P9k5xcVRdXlcl2GH4OAAARDUlEQVQZSZIkSZKkzWhrCNK9Zx5U1aVAWqpXkiRJkiRp2VtQgibJ3ya5Anh+km8nuSLJt+hgdSiX2ZYkSZIkSUtVqmrhlSRPrqr3txDPFhsfH6+1a9d2GYIkSZIkSdImJVlXVeOzy1sZ4jQ7OZPkzm3UK0mSJEmStBK0MhQpyY7Aw4GdmqLHAU8e8NyHAU8Ergaqqk6Ytf9o4K+AG5ui06vq7S2ELUmSJEmSNBLamitmCvgqcE2zvcsgJyXZAXgjsG9V3ZTkrCSHV9W5sw59alV9p6VYJUmSJEmSRkpbCZrvVNXfzGwkuceA5x0MfLeqbmq2LwKOAGYnaJ6b5EfADsC/VNW1Cw1YkiRJkiRpVCx0Fac1SdYAVyQ5PMmezfafDVjFXYDr+7ava8r6XQD8U1WdAqwF5pyMeP369YyPj9/2NTk5Ob8nI0mSJEmS1JGF9qA5H/gOEOCwvvI1wMsHOP9qfjVvDcCqpuw2VXVF3+angA8n2bqqbu0/bvXq1biKkyRJkiRJWooWmqB5blV9NMlOVXVbT5hm4t9BfA7YM8m2zTCnBwGnJdkFuKWqrkvyj8DfV9UtwN70hlPduok6JUmSJEmSlpQFJWiq6qPNw9cnOYNeTxqAm5Lcvaq+v5nzb0jybOANSdYDl1bVuUleDVwLnAT8CPi3JFcA+wFPX0jMkiRJkiRJoyZVtfBKkguBDcAVwG/xqyWxP1xV/7zgCwxgfHy8HOIkSZIkSZJGWZJ1VTU+u3xBkwT3+VhVHVJVf1ZVDwE+UVUPB+7aUv2SJEmSJEnLVlsJmrvN2r5n8/26luqXJEmSJElattpK0NyS5Owkpyb5KHBzknHgoS3Vv1nT09NMTEwwNTU1rEtKkiRJkiS1opU5aACSPAbYF/h6VZ3dSqXz4Bw0kiRJkiRp1C3KHDRJ0nxfA3wVeC/wlSSvWki9kiRJkiRJK8mCltkGLgYOBC6gt4LTzDLba4C/W2DdkiRJkiRJK8KCEjRVdWDz8P9U1W2TvzTDnSRJkiRJkjSAhfagAaCqppLsD6wGLgM+1ka9kiRJkiRJK0ErqzgleSHweuAZwN7ASW3UOx+u4iRJkiRJkpaqVnrQADtW1WFJjquq85Ic1FK9AxsbG2NycnLYl5UkSZIkSVqwVnrQAFs332fW7N6xpXolSZIkSZKWvbZ60Nya5L+AHZIcCHyxpXolSZIkSZKWvQUlaJKsqaorq+r4JI8A9gcuqapPtBOeJEmSJEnS8rfQIU6TSR6YJFV1TlWdYnJGkiRJkiRpfhY6xOlTwK7AK5MAfAX4r6r66UIDkyRJkiRJWilSVZs/atDKesOcTgGmq+ohrVU8gL333rsOO+wwHve4x/G4xz1umJeWJEmSJEkaSJJ1VTU+u3zBkwQnGQceCzwO2A34GHD2QuudL5fZliRJkiRJS9VCJwm+Cvg58DZgoqrWtRKVJEmSJEnSCrLQHjR/ADwa2AN4dJKtquoLCw9LOSEA1PF12+PZ23Pt67qO2ecvZhwzx3Qdx2LXMddzmalnY3XMdW82dt7m4ug/Z0vrmH3+cqpjYz+zpVDHbKNQxyCv70HraCOOpVDHpl7vXTyXmeMX2j42df4g92Bzv7e2JI6u6pjrPnRdx1L9m9pGHYO27VF4LrO/txnHzLFt3I9NvUa6qmNLnstc93Ihf9vbqGNL/i6PSh2zjUIdS/HvcpfPZWPtektt6me7XCwoQVNV3wC+AZBkFfDYJK8HLquqY1qIT5IkSZIkadlb6BCnPwU+CRxBbw6aw4BLga8vPDRJkiRJkqSVYasFnv8vwFfpDXV6H3CPqnpoVZ284MjmaXp6momJCaampoZ9aUmSJEmSpAVZ6Bw0ZwAvrKoNbQSzEK7iJEmSJEmSlqqFzkFzbFuBSJIkSZIkrVQLHeIkSZIkSZKkBeo8QZPkYUlOS/LyJMfPsX+7JP+S5CVJ3pLkt7uIcxgcoqW22JbUqrVdB6BlxfakNtme1CLfP6lV/n7SFug0QZNkB+CNwPOr6uXA/kkOn3XY84Arq+ofgdcBp7dx7VGcTHgk/yhc1nUAv24Uf26jdo9gNNvSKP7sRjGmUWxPrOs6gNsbxZ+dMQ1oBNvTSL7uRjAm29OARu1nN2rxwGjGxOi9fxrJ19wo/uxGMSYYud9Po9iejOn2uu5BczDw3aq6qdm+iN6S3f2OAD4HUFVfAQ5IsmqhF+76xi8ZI/YLbyR/biN2j0bVKP7sRjEm29NgRvFnZ0xL2Ci+7kYwJtvTgEbtZzdq8cBoxjSCRvI1N4o/u1GMaQSNYnsypttLVXV38eRPgKdU1eOb7T8HDq2qp/cdc1lzzJeb7e83x1w+q67r+fWE03rgmk1cfgyYbuWJtGdXNh1zF0btPo1aPDCaMdmWBmNMg7E9DcaYBmN7GowxDcb2tHmjFg+MZkwweu1pFO+TMQ3O9rR5KzmmPatq9ezChS6zvVBXAzv1ba9qyuZ7DFW10+wySZIkSZKkpaDrIU6fA/ZMsm2z/SDg7CS79A1jOpveUCiS7AdcUlXXDT9USZIkSZKkxdHpECeAJA8HnkRvSNLNVXVCklcD11bVSUm2B04BrgLuBbyqqv67u4glSZIkSZLa1XmCRpIkSZKklSBJyg/h2oiuhzhJGoL0/EHXcUjSbEnSdQySNJckXc/XqWUiyVZJ/hDA5Iw2xQTNCGpewKclWdNs++ZVWyzJVsDbgZcm2aPreLS0Ncm+iSSHJxnvOh4tXTN/26qqmt9T0hZrfje9IsnfJnl01/FoaWvei/87cJ9m2/fi2mJ978Vfk+SAruPRaPMN0YhpXsBvBdZX1ZVN8R07DElLWNOe3kJvjqf3Ajt0G5GWsuYN6nOBuwCPBV6e5CndRqUl7ONJPg5QVRtM0mhLNb+b/hz4Jb3VPh81x35pIH0fpn9QVV9JsjWwS8dhaYlq2tOZwOXA3wJbN+X+XtKcfDM0ek6nt1LV8UmeleQ04IQkj9rciVK/5hf/hcB3q+r5wA+BlyS5U7eRaQn7Q+CmqjoR+Ffgx8ALkxzRbVhaapLsDLwHWJPkI2CSRgvyIuDWqnoV8EFgdZLfT/JYcDiB5u0U4EtV9Q9J/qrZPjXJUR3HpaVpCriiqo4HbgT+Lslv+HtJG+MbodHzZeAXSf4auAR4B/Az4ClJdjPbqkE1v/g/BXyoKfoveu3rFjBzry1yd+CpAFV1OfCfwAXAfZNsY5vSPGwNfBrYF/itJGfDbUkae41qvq4Fbmge35Pe+9vD6A0neGRnUWmp+iq99+LPBdYBpwHnAE9Psk+nkWkpugD4MEBVfQr4BLAz+F5cczNBMyKa/yZSVa+n10X3DlW1tqo+C7wfuENvt9lWbV6S3wCoqpdV1Rebx7cAd6PXvdL/KGpgScaah28Cfprk00kOojc2/6PAjsA2tikNqqp+AvywqjYAvwPsleSsJPvSS/j5plUDq6o38at/Rnytqp5aVacA76T5p4Q0qKp6CzAN/G9VfaGqvkXvA/a3sT1pnqrq1fT+QTpjO+AZzT7fN+l2TNB0rJnU7u+Af0ry5iT7VNWZwOSsQ38G+CLWJvW1p5OSvCnJfknu0HfICcA2/odag+hrTycneROwD/BX9Hpj7QG8G/gKcD3gShfaqKYtPbN/ovKquiHJHapqQ1XtCzwMeBdwlW9atSkbaU+/bL7/T3PMvsCuwLe6iVJLxUba07vozd03YzW95MwNs8+X+m2kPd3aNzH+64FVSfbsLEiNNBM03ftL4FLgOfS6fB+X5DHAjUkekuR04GnAK6vq6g7j1NLQ3562oddb5pHNagQB7gSM4YdpDWamPT2bXi++5wH3a+Z5+Ci9iYKfD7yrqn7eWZRaCo4FjgH+KsndoPcmtqpuTrJ1ku2Ak4Ajq+rHXQaqJWHO9tR8v3+SfwOOpPfe6cqNVyMBc7QngKqaTnJYkrcBR9NrT1d1FKOWjo39vavm/fi2wBX0hmZKt2OCpkNJdgDuD1xfVbfS+1D9I+AJ9IY4fYbe2Ne3+gdBm7OR9nQ18EfAttVzDXB8VfkfIG3SHO3p2fQmBX5Kku2a/1YHOL2qfthhqFoavgGcBdwZeE6SPWberDbtaxvg9VV1WadRaqmYsz0BVNUXgC8CbzHZpwHdrj3N7Kiq8+jNP/PGqvpRR/FpadnU37sNVXUT8O9VdX23YWpUxV7E3UrybOC36P3i/5/mv4gfA86qqn/pNjotNZtoT++vqtO6jU5Ljb+f1JZmXqwbgEfQWw3sauAf6a2888suY9PSs4n2hL35NF+2J7XJv3daKBM0Q9Z0wX08vcnHvgFsC5xIb8Wmj1TVN5I8DrhTVb2nu0i1FMyjPe1QVe/deE2S7UntmdWWLu8fZpLk8fRW2NmN3hxGr/FNqzbF9qQ22Z7Upnm2p1Oq6sZOAtWS4RCnIWpewH8B7AccDnyG3rwzb6C3LOSJ6S2vfShwUUdhaomYZ3v6bEdhaomwPakts9rSYcAFSe43s7+q/pPecLndgHf64UebYntSm2xPatMWtCeTM9osJwodriOA36yqvwdIcgO9Zdf2ozeZ6wPpDSd4teOmNQDbk9pke1Jb5mpLn00yXlVfT7I18N/A26vqe10GqiXB9qQ22Z7UJtuTWmeCZrh+DGydZCugquqVzQt3EvjjZiKy8zqNUEuJ7Ultsj2pLbPb0j82j9+Q5IlVdV2SD1bVho7j1NJge1KbbE9qk+1JrTNBs8iarm9/SW+J2ouBR9Ob++clzSH/BGwP2OVNm2V7UptsT2rLAG3pFGBH4JcAvlnVptie1Cbbk9pke9JiM0GziPrGJRbwWGBv4MnAhUk2AK8H9gJ+g94L+afdRKqlwPakNtme1Bbbktpke1KbbE9qk+1Jw+AqTosoycuBn1XVqc32h4EJYAfgVOALwN2Af6iqq7qKU0uD7Ultsj2pLbYltcn2pDbZntQm25OGwR40i2st8PMk21TVLcCngV2r6qtJzgDOBratqus7jVJLhe1JbbI9qS22JbXJ9qQ22Z7UJtuTFp0JmsX1KeCW5gUM8HPgqiTPBB4CnOMLWPNge1KbbE9qi21JbbI9qU22J7XJ9qRFZ4JmEVXVDbOKrgeOA8aB51bVL4YflZYq25PaZHtSW2xLapPtSW2yPalNticNgwma4ToEeBDw2Kr6TsexaOmzPalNtie1xbakNtme1Cbbk9pke1LrnCR4iJI8FfhaVX2l61i09Nme1Cbbk9piW1KbbE9qk+1JbbI9aTGYoJEkSZIkSerYVl0HIEmSJEmStNKZoJEkSZIkSeqYCRpJkiRJkqSOmaCRJEmSJEnqmMtsS5KkFSHJZ4CLgTsDTwTe1Ozag97CCU/tKjZJkiRXcZIkSStCkmOq6owkvwN8pKr2mikHzizfFEmSpA45xEmSJK0IVXXGRnbtBFwBvWRNkh8leWGStyf5WJIjk5ye5NNJVjXH7Zvkbc1xpyf5rWE9D0mStDyZoJEkSStaVb2h7/EZwDeBL1bVUcBNwE5V9SzgS8DDm0PfDLyxqk4G3g68ZrhRS5Kk5cY5aCRJkm7vf5rvP+t7/FN6vW0A9gcekeQQYHvg58MNT5IkLTcmaCRJkubvEuCDVXVpkm2BJ3QdkCRJWtpM0EiSpBUjyfbABDCW5JlV9ZYkz2m2/wS4BtgTODrJh+n1lDkqyQ+BQ4D9knwMeBZwbJLLgd2B93fxfCRJ0vLhKk6SJEmSJEkdc5JgSZIkSZKkjpmgkSRJkiRJ6pgJGkmSJEmSpI6ZoJEkSZIkSeqYCRpJkiRJkqSOmaCRJEmSJEnqmAkaSZIkSZKkjpmgkSRJkiRJ6tj/B+5oWCJ0j7KeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1382.4x345.6 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# extend figure sizes\n",
    "plt.rcParams['figure.figsize'] = [19.2, 4.8]\n",
    "# generate summary\n",
    "summary(env._prices, env.agents)"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "qtrader",
   "language": "python",
   "name": "qtrader"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
